This paper models and estimates the energy demand by the commercial sector, using an error correction model. It also simulates the estimated model under three pricing scenarios and presents an analysis of the results. Copyright 2007 Organization of the Petroleum Exporting Countries.

This study dealt with the estimation of price elasticities for the non-oil manufacturing industrial energy demand for the case of Kuwait using the two-stage inter-fuel substitution approach. The estimated model has performed quite well and thus was simulated assuming a 100 per cent price shock...

A model for motor gasoline demand in Canada is developed by household. The model identifies and separates effects of several responses by the household to a change in gasoline prices such as driving fewer miles, purchasing fewer cars, and buying more fuel efficient cars. It also estimates the...

The purpose behind building the industrial energy demand model was to enable assessment of the impact of potential policy options and to forecast future energy demand under various assumptions, including the impact of the possible removal of energy subsidies in accordance with the World Trade...

Many Arab countries face difficulties in generating sufficient revenues for public expenditure and may face a budget deficit. This study makes use of pooled time-series and cross-sectional country data for the 1994-2000 time period for 16 Arab countries to examine the determinants of the tax...

Arab countries like other developing countries have embarked on financial sector reforms since the early 1990s. The purpose of this study is to discuss and shed some light on the Arab countries’ financial sector institutional reform and their implications for economic development. The Arab...

The purpose of building the industrial energy demand model was to assess the impact of possible policy options and forecast future energy demand under various assumptions including the impact of the possible removal of energy subsidies in accordance with the WTO agreement. The forecasting...